• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.821-824
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• 2009

고속도로를 주행 중인 차량에 강풍이 작용할 경우 차량의 주행안정성 저하와 운전자의 상황에 따른 치명적인 교통사고로 이어질 수 있다. 특히, 최근에 건설되거나 추진 중인 고속도로는 교량과 터널의 연속적인 조합으로 강풍발생위험에 노출되어 있어 적극적인 강풍저감 대책이 필요하다. 효과적인 방풍 시설 설치나 사전예고 시스템의 도입을 위해서는 차량의 동역학적 거동 분석, 주행 중인 차량의 위험도 판단기준 연구, 강풍위험지역의 정확한 풍속 추정기법 연구, 지능화된 방풍벽 개발, 방풍시설 설치판단 기준 제시, 합리적인 차량 속도 규제정책 등의 연구 개발이 수행되어야 한다. 본 연구에서는 강풍 발생 구간을 주행하는 차량의 동역학적 거동모델을 제시하고, 이를 기반으로 기존에 제안된 위험도 판단기준의 합리성을 제고하였으며, 운전자의 상황을 고려한 현실적인 차량주행위험도 판단기준 제시를 목표로 하였다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.271-272
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• 2023

본 논문에서는 대학 캠퍼스 내 배달로봇 사용 시 환경적 특성에 의한 유해위험요인을 사전에 발굴하고 로봇의 출발지에서 목적지까지 발생할 수 있는 위험을 단계별로 추정·판단하여 위험을 감소에 대한 필요성에 관한 연구를 수행하였다. 캠퍼스 내 주행 구간별 유해위험요인을 파악 및 단계별 위험성 추정을 위하여 배달로봇을 사용하기 전 위험성을 사전에 확인할 수 있는 위험성평가의 필요성을 제시한다. 배달로봇 시장의 확대로 인한 사람과의 접촉 증가에 비하여 안전대책 연구가 미흡한 실정이며, 로봇의 기술적 진보와 사용자들의 정서적 수준에 뒤처지지 않는 적절한 안전대책을 마련해야 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.42-60
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• 2024

This study analyzed the characteristics of mixed traffic flows with autonomous vehicles on highway weaving sections and assessed the safety of vehicle-following pairs based on surrogate safety indicators. The intelligent driver model (IDM) was utilized to emulate the driving behavior of autonomous vehicles, and the weaving sections were divided into lengths of 300 and 600 meters for analysis within a micro-traffic simulation (VISSIM). Although significant differences were found in the average speed, density, and headway between the two sections through t-test results, no significant differences were observed when comparing the number of conflicts per indicator and the vehicle-following pair. Four safety indicators were selected for the mixed traffic evaluation based on their ability to represent risk levels similar to those perceived by drivers. The safety analysis, based on the selected four indicators, determined that autonomous vehicles following other autonomous vehicles were the safest pairing. Future research should focus on integrating these indicators into a single comprehensive index for analysis.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.273-274
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• 2023

본 논문에서는 순찰로봇이 도시 환경을 주행하는 경우에 대하여 CPTED 및 문헌 연구를 통해 순찰 경로를 선정하였으며, 발생 가능한 위험 요소에 대한 위험성평가를 실시하였다. 로봇과 함께 도보를 사용하는 시민은 로봇에 대한 전문성이 부족하며, 위험에 대한 인식이 부족하고 또한 도시환경의 경우 돌발적 상황 및 환경관리의 어려움이 존재한다. 현재 순찰로봇 안전평가를 하기 위하여 순찰로봇과 관련된 기업들은 ISO 13482 국제표준을 사용하고 있다. 이는 개인 서비스 로봇의 안전 관련 국제 표준이며 순찰로봇의 특징과 주행환경의 특성을 고려한 안전기준에 대한 연구가 필요한 것으로 판단하였다. 순찰로봇이 주행하면서 발생할 수 있는 위험요인과 안전관리에 관한 연구가 부족하여, 순찰로봇의 안전성 확보를 위한 초기연구 목적으로 제시하고자 한다.

• International Journal of Highway Engineering
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• v.13 no.1
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• pp.149-156
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• 2011

Considerable evaluation is needed to design a new longitudinal tunnel in advance because it damaged drivers' driving safety and heightened the possibility of traffic accidents with its physical characteristics. Specifically, considering traffic psychological and ergonomic factors was very important to prevent the difficulty of maintaining safe speed, the increase of the drowsy driving, the fatality of traffic accidents, and subjective feelings such as anxiety while driving a car through the tunnel, from design to construction. This study dealt with driving safety evaluation of an original road alignment design for the longitudinal tunnel (length: above 10km) with a driving simulator, and helped us to improve an original road alignment design and make an alternative road alignment design with presenting risky districts. The results of experiment showed that inflection points were revealed more risky districts, because they impaired driving safety and elevated driver workload while driving a car through around the inflection points of two-way route. Finally, the limitations and implications of this study were discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.299-312
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• 2021

Autonomous vehicles using V2X can drive safely information on areas outside the sensor coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology has emerged as a key component of autonomous vehicles, research on V2X security is actively underway research on risk analysis due to failure of V2X communication is insufficient. In this paper, the service scenario and function of autonomous driving system V2X were derived by presenting the intersection scenario of the autonomous vehicle, the malfunction was defined by analyzing the hazard of V2X. he ISO26262 Part3 process was used to analyze the risk of malfunction of autonomous vehicle V2X. In addition, a fault injection scenario was presented to verify the fail-safe of the simulation-based intersection scenario.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.2
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• pp.45-56
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• 2021

In platoon driving, several autonomous vehicles communicate to exchange information with each other and drive in a single cluster. The platooning technology has various advantages such as increasing road traffic, reducing energy consumption and pollutant emission by driving in short distance between vehicles. However, the short distance makes it more difficult to cope with an emergency accident, and accordingly, it is difficult to ensure the safety of platoon driving, which must be secured. In particular, the unexpected situation, i.e., variability that may appear during driving can adversely affect the safety of platoon driving. Because such variability is difficult to predict and reproduce, preparing safety guards to prevent risks arising from variability is a challenging work. In this paper, we studied a simulation method to avoid the risk due to the variability that may occur while platoon driving. In order to simulate safe platoon driving, we develop diverse scenarios considering the variability, design and apply safety guards to handle the variability, and extends the detail functions of VENTOS, an open source platooning simulator. Based on the simulation results, we have confirmed that the risks caused form the variability can be removed, and safe platoon driving is possible. We believe that our simulation approach will contribute to research and development to ensure safety in platoon driving.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.139-146
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• 2011

Travelling vehicles on roads may slip or overturn due to strong cross wind. This paper presents the path deviation equation and the overturning equation of vehicle, and the process of evaluating the cross wind risk. Case studies for cars and trucks are carried out. It explains the mechanism why the deviation occurs according to the types of vehicles. It shall help to prepare the measures for reducing the risk of travelling vehicles in high wind speeds.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.222-234
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• 2020

Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation systems at intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88% of all accidents due to the limitation of prediction and judgment of an area outside the sensing distance. Not only research on non-signalized intersection collision avoidance strategies through V2V and V2I is underway, but also research on safe intersection driving in failure situations is underway, but verification and fragments through simple intersection scenarios Only typical V2V failures are presented. In this paper, we analyzed the architecture of the V2V module, analyzed the causal factors for each V2V module, and defined the failure mode. We presented intersection scenarios for various road conditions and traffic volumes. we used the ISO-26262 Part3 Process and performed HARA (Hazard Analysis and Risk Assessment) to analyze the risk of autonomous vehicle based on the simulation. We presented ASIL, which is the result of risk analysis, proposed a monitoring concept for each component of the V2V module, and presented monitoring coverage.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.26-41
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• 2024

To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerous-driving propensities in order to explore potential correlations with drivers' behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.